Glasgow, PA
Glasgow wildfire risk explained
Glasgow sits at the 38th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 48 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Glasgow at the 38th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Glasgow's building exposure, zone by zone
48 buildings are counted in Glasgow, and 77.1% of them are Indirect exposure — ember-driven risk rather than the 16.7% in Direct exposure or the 6.3% rated Minimal.
Glasgow against the rest of the country
Compare Glasgow's two percentiles: 58th within Pennsylvania, only 38th nationally — a gap of 20 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Glasgow ranks 19,489 for wildfire risk (1 is highest) and 30,987 by building count (1 is largest). Within Pennsylvania alone, it ranks 837 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Glasgow and the insurance market
Glasgow's moderate wildfire rating (38th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Glasgow
Glasgow's 77.1% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Glasgow's figures come from
Glasgow's 38th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Glasgow's dominant indirect exposure actually means, with real examples from across the dataset.